The cytotoxicity of zinc oxide nanoparticles to 3D brain organoids results from excessive intracellular zinc ions and defective autophagy.

Although the neurotoxicity of ZnO nanoparticles (NPs) has been evaluated in animal and nerve cell culture models, these models cannot accurately mimic human brains. Three-dimensional (3D) brain organoids based on human-induced pluripotent stem cells have been developed to study the human brains, but this model has rarely been used to evaluate NP neurotoxicity. We used 3D brain organoids that express cortical layer proteins to investigate the mechanisms of ZnO NP-induced neurotoxicity. Cytotoxicity caused by high levels of ZnO NPs (64 µg/mL) correlated with high intracellular Zn ion levels but not superoxide levels. Exposure to a non-cytotoxic concentration of ZnO NPs (16 µg/mL) increased the autophagy-marker proteins LC3B-II/I but decreased p62 accumulation, whereas a cytotoxic concentration of ZnO NPs (64 µg/mL) decreased LC3B-II/I proteins but did not affect p62 accumulation. Fluorescence micro-optical sectioning tomography revealed that 64 µg/mL ZnO NPs led to decreases in LC3B proteins that were more obvious at the outer layers of the organoids, which were directly exposed to the ZnO NPs. In addition to reducing LC3B proteins in the outer layers, ZnO NPs increased the number of micronuclei in the outer layers but not the inner layers (where LC3B proteins were still expressed). Adding the autophagy flux inhibitor bafilomycin A1 to ZnO NPs increased cytotoxicity and intracellular Zn ion levels, but adding the autophagy inducer rapamycin only slightly decreased cellular Zn ion levels. We conclude that high concentrations of ZnO NPs are cytotoxic to 3D brain organoids via defective autophagy and intracellular accumulation of Zn ions.

Identification and validation of novel biomarkers affecting bladder cancer immunotherapy via machine learning and its association with M2 macrophages.

Background: Immunotherapy has shown promising results in bladder cancer therapy options. Methods: Analysis of open-access data was conducted using the R software. Open-access data were obtained from The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), and IMvigor210 databases. Immunofluorescence and co-culture systems were utilized to validate the effect of PTHLH on M2 macrophage polarization. Results: Here, through the combined (TCGA, GSE128959, GSE13507, and GSE83586) and IMvigor210 cohorts, we comprehensively investigated the biological and immune microenvironment differences in patients with diverse immunotherapy responses. Meanwhile, we found that M2 macrophage could affect bladder cancer immunotherapy sensibility. Moreover, based on the machine learning algorithm (LASSO logistics regression), PTHLH, BHMT2, and NGFR were identified, which all have good prediction abilities for patient immunotherapy. Then, a logistics regression model was established based on PTHLH, BHMT2, and NGFR, and each patient was assigned a logistics score. Subsequently, we investigated the difference in patients with high low logistics scores, including biological enrichment, immune microenvironment, and genomic characteristics. Meanwhile, data from the Human Protein Atlas database indicated a higher protein level of PTHLH in bladder cancer tissue. Immunofluorescence indicated that the knockdown of PTHLH in bladder cancer cells can significantly inhibit the M2 polarization of co-culture M0 macrophages. Conclusions: Our study investigated the difference between bladder cancer immunotherapy responders and non-responders. Meanwhile, the PTHLH was identified as a novel biomarker for bladder cancer immunotherapy.

[Research on grading prediction model of traumatic hemorrhage volume based on deep learning].

OBJECTIVE: To develop a grading prediction model of traumatic hemorrhage volume based on deep learning and assist in predicting traumatic hemorrhage volume. METHODS: A retrospective observational study was conducted based on the experimental data of pig gunshot wounds in the time-effect assessment database for experiments on war-traumatized animals constructed by the General Hospital of the Chinese People's Liberation Army. The hemorrhage volume data of the study population were extracted, and the animals were divided into 0-300 mL, 301-600 mL, and > 600 mL groups according to the hemorrhage volume. Using vital signs indexes as the predictive variables and hemorrhage volume grading as the outcome variable, trauma hemorrhage volume grading prediction models were developed based on four traditional machine learning and ten deep learning methods. Using laboratory test indexes as predictive variables and hemorrhage volume grading as outcome variables, trauma hemorrhage volume grading prediction models were developed based on the above fourteen methods. The effect of the two groups of models was evaluated by accuracy and area under the receiver operator characteristic curve (AUC), and the optimal models in the two groups were mixed to obtain hybrid model 1. Feature selection was conducted according to the genetic algorithm, and hybrid model 2 was constructed according to the best feature combination. Finally, hybrid model 2 was deployed in the animal experiment database system. RESULTS: Ninety-six traumatic animals in the database were enrolled, including 27 pigs in the 0-300 mL group, 40 in the 301-600 mL group, and 29 in the > 600 mL group. Among the fourteen models based on vital signs indexes, fully convolutional network (FCN) model was the best [accuracy: 60.0%, AUC and 95% confidence interval (95%CI) was 0.699 (0.671-0.727)]. Among the fourteen models based on laboratory test indexes, recurrent neural network (RNN) model was the best [accuracy: 68.9%, AUC (95%CI) was 0.845 (0.829-0.860)]. After mixing the FCN and RNN models, the hybrid model 1, namely RNN-FCN model was obtained, and the performance of the model was improved [accuracy: 74.2%, AUC (95%CI) was 0.847 (0.833-0.862)]. Feature selection was carried out by genetic algorithm, and the hybrid model 2, namely RNN-FCN∗ model, was constructed according to the selected feature combination, which further improved the model performance [accuracy: 80.5%, AUC (95%CI) was 0.880 (0.868-0.893)]. The hybrid model 2 contained ten indexes, including mean arterial pressure (MAP), hematocrit (HCT), platelet count (PLT), lactic acid, arterial partial pressure of carbon dioxide (PaCO2), Total CO2, blood sodium, anion gap (AG), fibrinogen (FIB), international normalized ratio (INR). Finally, the RNN-FCN∗ model was deployed in the database system, which realized automatic, continuous, efficient, intelligent, and grading prediction of hemorrhage volume in traumatic animals. CONCLUSIONS: Based on deep learning, a grading prediction model of traumatic hemorrhage volume was developed and deployed in the information system to realize the intelligent grading prediction of traumatic animal hemorrhage volume.

Efficacy of New Zeolite-Based Hemostatic Gauze in a Gunshot Model of Junctional Femoral Artery Hemorrhage in Swine.

BACKGROUND: This work sought to (1) establish a reliable gunshot model of junctional femoral artery rupture in swine that accurately simulates field rescue conditions and (2) use the gunshot model to compare the efficacy and ease of application of zeolite nanometer hemostatic gauze with other hemostatic materials. METHODS: Thirty-six healthy landrace swine (body weight 50 ± 5 kg) were randomly divided into three groups which were treated with Combat Gauze (CG), FeiChuang hemostatic gauze (FG), or standard medical gauze (SG). A gunshot model of femoral artery hemorrhage in landrace swine was used with portable ultrasound to accurately position the wound. After the shooting, when mean arterial pressure of swine decreased by at least 30% for 10 s, wounds were pressed with standard packing (39 g) of gauze materials for 3 min to stop bleeding, then bandaged with pressure. Blood samples were taken 15 min before injury, then 10 min, 30 min, and 60 min after injury to determine hemodynamic, coagulation, and arterial blood gas indexes. Wound temperatures were taken at 5 min, 10 min, 30 min, and 60 min after injury, and survival times were recorded. The volume of blood loss and survival time were used to evaluate hemostatic effect, whereas the fill time, wound temperature, and physiological indexes were used to evaluate the safety and operation of the product. RESULTS: The CG (11.15 ± 3.09 mL/kg) and FG (12.19 ± 3.5 mL/kg) groups had significantly less blood loss than the SG group (16.8 ± 5.14 mL/kg) (P = 0.04; P = 0.039, respectively). After gauze packing, bleeding in CG (5.85 ± 1.17 mL/kg) and FG (5.37 ± 0.93 mL/kg) groups remained significantly lower than that of the SG group (6.93 ± 1.03 mL/kg) (P = 0.011; P = 0.003, respectively). Wound temperature rose with time for all groups (P < 0.001). The wound temperatures in the FG group and the CG group were significantly higher than that of the SG group (P = 004 and 0.009, respectively). Survival rates and times were not significantly different among the three groups, although the FG group had the longest average survival time (standard deviation [SD] 204.8 s), compared with the SG group (SD 177.8 s) and CG (SD 187.5 s) groups. No significant differences in hemodynamics, blood gas, and coagulation were observed among the three groups. CONCLUSIONS: The gunshot model of junctional femoral arterial hemorrhage guided by ultrasound had high accuracy for femoral arterial rupture by bullet wound and provided consistent and reproducible field-simulation conditions for comparison of hemostatic materials. FeiChuang zeolite hemostatic gauze effectively controlled bleeding as well as combat gauze, without excessive heat as found in other zeolite-based products. However, improvements to application technique, such as a packing device, are needed to improve operating time.

[Changes of arterial blood gas indexes of free-field primary blast lung injury of pigs and its application value].

OBJECTIVE: To observe the changes of arterial blood gas indexes in pigs with the free-field primary blast lung injury (PBLI) model, and to explore the value of arterial blood gas indexes in predicting moderate to severe PBLI. METHODS: Nine adult healthy Landrace pigs were selected to construct the pig free-field PBLI model. Arterial blood samples were taken 15 minutes before the explosion (before injury) and 10, 30, 60, 120, and 180 minutes after the explosion (after injury). Arterial blood gas indexes and pulse oxygen saturation (SpO2) were measured, compare the changes of blood gas analysis indexes and SpO2 levels at different time points, and observe the changes of gross injury scores and pathological injury scores of lung tissue. Analyze the correlation between the blood gas indicators. RESULTS: As time prolonged, at each time point, pH, arterial partial pressure of oxygen (PaO2), and SpO2 were lower than those before the injury, and blood lactic acid (Lac) and arterial partial pressure of carbon dioxide (PaCO2) were higher than those before the injury. Compared with that before the injury, the pH value in the blood decreased significantly 10 minutes after the injury (7.39±0.06 vs. 7.46±0.02, P < 0.05), and the Lac increased significantly (mmol/L: 3.61±2.89 vs. 1.10±0.28, P < 0.05), and lasts until 180 minutes after injury (pH value: 7.37±0.07 vs. 7.46±0.02, Lac (mmol/L): 2.40±0.79 vs. 1.10±0.28, both P < 0.05); while PaO2 and SpO2 decreased significantly at 180 minutes after injury [PaO2 (mmHg, 1 mmHg = 0.133 kPa): 59.40±10.94 vs. 74.81±9.39, P < 0.05; SpO2: 0.75±0.11 vs. 0.89±0.08, P < 0.05], PaCO2 increased significantly (mmHg: 56.17±5.38 vs. 48.42±4.93, P < 0.05). Correlation analysis showed that the gross injury score of lung blast injury animals was positively correlated with the pathological injury score (r = 0.866, P = 0.005); PaO2 and SpO2 were positively correlated (r = 0.703, P = 0.000); pH value and Lac were negative Correlation (r = -0.400, P = 0.006); pH value is negatively correlated with PaCO2 (r = -0.844, P = 0.000). CONCLUSIONS: This study successfully established a large mammalian free-field PBLI model, arterial blood gas analysis is helpful for the early diagnosis of PBLI, whether SpO2 can be used to evaluate the severity of lung injury remains to be further verified.

Investigation of the effect of the doping order in GaN nanowire p-n junctions grown by molecular-beam epitaxy.

We analyse the electrical and optical properties of single GaN nanowire p-n junctions grown by plasma-assisted molecular-beam epitaxy using magnesium and silicon as doping sources. Different junction architectures having either a n-base or a p-base structure are compared using optical and electrical analyses. Electron-beam induced current (EBIC) microscopy of the nanowires shows that in the case of a n-base p-n junction the parasitic radial growth enhanced by the magnesium (Mg) doping leads to a mixed axial-radial behaviour with strong wire-to-wire fluctuations of the junction position and shape. By reverting the doping order p-base p-n junctions with a purely axial well-defined structure and a low wire-to-wire dispersion are achieved. The good optical quality of the top n nanowire segment grown on a p-doped stem is preserved. A hole concentration in the p-doped segment exceeding 1018 cm-3 was extracted from EBIC mapping and photoluminescence analyses. This high concentration is reached without degrading the nanowire morphology.

Anthocyanins decrease the internalization of TiO2 nanoparticles into 3D Caco-2 spheroids.

The influence of food components on nanoparticle (NP) internalization indicates a need to investigate the behaviors of NPs in a complex system. This study measured the changes of TiO2 NP colloidal stability and quenching of anthocyanin fluorescence to indicate NP-anthocyanin interactions, and cytotoxicity, oxidative stress, expression of ABC transporters and intracellular Ti concentrations in 3D Caco-2 spheroids co-exposed to NPs and anthocyanins to indicate the influence of anthocyanins on NP bio-effects. The anthocyanins were observed to have minimal impacts on colloidal properties of TiO2 NPs. Meanwhile, NP-anthocyanin co-exposure did not induce cytotoxicity or oxidative stress. The fluorescence quenching study indicated the binding of anthocyanins onto TiO2 NPs, and the binding affinity was inversely correlated with NP internalization into 3D Caco-2 spheroids. This may be partially related with the up-regulation of ABC transporters. Our results may provide novel insights into understanding the interactions of NPs and anthocyanins with human intestinal cells.

ERα Gene Promoter Methylation in Cognitive Function and Quality of Life of Patients With Alzheimer Disease.

OBJECTIVE: Alzheimer disease (AD) has been recognized as a progressive neurodegenerative disorder. This study aims to investigate the effects of estrogen receptor α (ERα) gene promoter methylation on the cognitive function and quality of life (QOL) of patients with AD. METHODS: A total of 132 patients with AD and 135 healthy individuals were recruited for this study. The DNA in the peripheral blood was extracted and treated with bisulfite; then methylation-specific polymerase chain reaction and reverse transcription quantitative polymerase chain reaction were performed to determine the methylation status of ERα and ERα messenger RNA (mRNA) expression, respectively. Mini-Mental State Examination (MMSE), activities of daily living (ADL), and Quality of Life-Alzheimer Disease scale were employed to evaluate the cognitive functions, ADL, and QOL of the participants. RESULTS: The methylation group showed a decrease in ERα mRNA expression. The MMSE and ADL scores were indicative of a worse cognitive function in the methylation group. The ERα promoter methylated patients showed a higher rate of abnormal ADL score, while patients in the nonmethylation group enjoyed a better QOL. CONCLUSIONS: The ERα promoter methylation is related to impaired cognitive function and QOL of patients with AD by inhibiting ERα mRNA expression and transcription.

Genetic polymorphisms in tumor necrosis factor alpha and interleukin-10 are associated with an increased risk of cervical cancer.

Most cases of cervical cancer are the result of infection with specific high-risk types of human papillomavirus (HPV). Investigating the genetic basis of the host immune response, particularly cytokine function, could help further characterize the progression of cervical HPV infection into neoplasia. Prior studies have demonstrated a correlation between genetic variants of tumor necrosis factor alpha (TNF-α, TNF gene) and/or interleukin-10 (IL-10, IL10 gene) and cervical cancer susceptibility. However, some of the results have been contradictory. We sought to resolve these discrepancies by carrying out our study in a large cohort of Chinese women. In order to assess the association of TNF and IL10 genotypes with cervical cancer susceptibility, the polymorphisms in TNF (-238 G/A, -308 G/A) and IL10 (-592 C/A, -819 C/T, -1082 A/G) were genotyped and odds ratios for the genotype and allele frequencies between cervical cancer patients and healthy controls were calculated. Also, the functional relevance of these polymorphisms was evaluated using enzyme-linked immunosorbent assays (ELISAs) and in vitro lymphocyte proliferation assays. The TNF-238 AA genotype frequency was lower in patients than in controls (p < 0.05). TNF-308 AA, IL10-592 CA/AA, and IL10-819 CC/CT genotype frequencies were higher in cervical cancer patients than in controls (p < 0.05). The frequency of the TNF-238 A allele was significantly lower in patients, while the frequency of the -308 A allele was significantly higher (p < 0.05). No significant differences between patients and controls were found in the genotype or allele frequencies of IL10-1082 A/G (p > 0.05). Furthermore, the combinations of TNF-238 GA or GG and IL10-592 CC; TNF-238 GA or GG and IL10-592 CA or AA; TNF-308 AA and IL10-592 CC; and TNF-308 AA and IL10-592 CA or AA in cervical cancer patients were statistically significant (p < 0.0167). Upon stimulation with PHA, peripheral blood mononuclear cells (PBMCs) with the TNF-308AA genotype exhibited significantly higher proliferation rates, elevated IL-4, TGF-ß levels, and lower IL-2 levels (p < 0.05). For IL10-592C/A, the AA and CA genotypes were significantly associated with higher proliferation rates, elevated IL-4 and IL-10 levels (p < 0.05). We also found that for TNF-308 G/A or IL10-592 C/A variants, the combination of TNF-308 GG or GA with IL10 CA or AA had an association with the severity of cervical cancer. Taken together, these results suggest that TNF-308 AA and IL10-592 CA/AA genotypes may increase susceptibility to cervical cancer by altering the immune response of an individual.

Optical Study and Experimental Realization of Nanostructured Back Reflectors with Reduced Parasitic Losses for Silicon Thin Film Solar Cells.

We study light trapping and parasitic losses in hydrogenated amorphous silicon thin film solar cells fabricated by plasma-enhanced chemical vapor deposition on nanostructured back reflectors. The back reflectors are patterned using polystyrene assisted lithography. By using O2 plasma etching of the polystyrene spheres, we managed to fabricate hexagonal nanostructured back reflectors. With the help of rigorous modeling, we study the parasitic losses in different back reflectors, non-active layers, and last but not least the light enhancement effect in the silicon absorber layer. Moreover, simulation results have been checked against experimental data. We have demonstrated hexagonal nanostructured amorphous silicon thin film solar cells with a power conversion efficiency of 7.7% and around 34.7% enhancement of the short-circuit current density, compared with planar amorphous silicon thin film solar cells.